edge_detection

关于奇异值分解，图像特征融合，图像处理的特征图提取方法(About the singular value decomposition )

图像中目标的定位， 边缘检测，检测目标并跟踪，(The positioning of the target image, edge detection, target detection and tracking,)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

一种简单的代数重建算法，用于CT图像二维重建，供初学者学习使用。(A simple algebraic reconstruction algorithm, used in CT image reconstruction, for beginners learning to use.)

几个流行的超图匹配代码 张量，随机游动，谱的(hyergraph matching)

stanfod大学一个博士编写的PS_INSAR处理程序，fr(University stanfod prepared by Dr. PS_INSAR a process, fr)

噪声环境下的信号检测算法及matlab算法，高斯环境下，门限检测(Signal detection algorithm in noisy environments and matlab algorithm, Gaussian environment, the threshold detector)

说明：  对局部放电进行小波变换模式识别，解决放电破坏设备问题(Wavelet Transform Pattern Recognition for Partial Discharge)

对火焰惊醒提取轮廓 并求取周长面积 圆形度(Woke up on the flame contour extraction and the degree to strike a circular perimeter area)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)